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Joplin MCP Server

by alondmnt
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    • Joplin MCP Server

      jakubfrieb
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to interact with Joplin notes and notebooks, including searching, reading, and listing notebooks through natural language commands via the MCP protocol.
      243 npm
      49
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    • joplin-mcp

      h4rm00n
      F
      license
      Not graded
      quality
      C
      maintenance
      Enables LLMs to interact with Joplin note-taking application through a comprehensive set of MCP tools for managing notes, notebooks, todos, tags, and resources, as well as performing searches and batch operations.
      -

    • Joplin MCP Server

      MCP-Mirror
      A
      license
      A
      quality
      Not graded
      maintenance
      Enables AI assistants to interact with Joplin notes through full-text search, reading, creating, updating, and deleting notes, as well as importing markdown files directly into Joplin notebooks.
      6
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    • joplin-mcp

      techfixpros
      A
      license
      Not graded
      quality
      C
      maintenance
      Exposes Joplin's Data API as MCP tools so an LLM can search, read, create, update, delete, and organize notes, notebooks, and tags against a headless Joplin instance, including attachments and tag management.
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    • MCP Joplin Server

      happyeric77
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI clients to interact with Joplin notes through the Web Clipper API. Supports searching, reading, creating, deleting, and organizing notes and notebooks, plus scanning for uncompleted todo items.
      1
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 19 tools

    Disambiguation5/5

    Each tool targets a distinct operation: note retrieval, resource inspection, link analysis, targeted editing, and various search scopes are cleanly separated. The overlap between update_note and edit_note is explicitly addressed in their descriptions, and the find_* variants are scoped by content, tag, notebook, or single-note regex.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern (list_*, get_*, create_*, find_*, tag/untag_*). Minor deviations like ping_joplin and the mix of list_tags vs get_tags_by_note prevent a perfect score, but the conventions are still predictable and readable.

    Tool Count4/5

    19 tools is slightly above the ideal 3-15 range, but the count is justified by the domain covering notes, notebooks, tags, resources, links, search, and trash recovery. No tool feels redundant, though a few could potentially be consolidated.

    Completeness3/5

    The set covers create, read, update, search, tagging, and restore workflows well, but notably lacks delete/trash operations for notes, notebooks, and tags. An agent cannot remove content or clean up unused tags, which is a significant gap for a notes management server.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources